PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

10.70 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (383 utterances, 935 words searched).

  1. koko ni aru yan . %mov:"20017"_17452_18157 FAT · japanese_ishii/20017.cha, line 23 · Jun 2;00
  2. joozu ni ne . %mov:"20017"_34511_35727 FAT · japanese_ishii/20017.cha, line 34 · Jun 2;00
  3. gohon ni kaita ra dame desu yo . %mov:"20017"_231973_234972 FAT · japanese_ishii/20017.cha, line 166 · Jun 2;00
  4. koko ni mo aru wa, hora, mikisaa . %mov:"20017"_273323_274711 FAT · japanese_ishii/20017.cha, line 188 · Jun 2;00
  5. joozu ni mane suru ne . %mov:"20017"_282522_283912 FAT · japanese_ishii/20017.cha, line 194 · Jun 2;00
  6. piipoopiipoo@o doko ni aru no, sagashaite . %mov:"20017"_381108_386121 FAT · japanese_ishii/20017.cha, line 256 · Jun 2;00
  7. Chaachan to issho ni notta . %mov:"20017"_528808_530003 FAT · japanese_ishii/20017.cha, line 348 · Jun 2;00
  8. mimi doko ni aru ? %mov:"20017"_580151_584163 FAT · japanese_ishii/20017.cha, line 371 · Jun 2;00
  9. Jun no okuchi wa doko ni aru ? %mov:"20017"_599523_601117 FAT · japanese_ishii/20017.cha, line 379 · Jun 2;00
  10. Jun ookii no ni iretageyo ka . %mov:"20017"_1093587_1097385 FAT · japanese_ishii/20017.cha, line 651 · Jun 2;00
  1. FATun . %mov:"20017"_14363_14801
    CHInai . %mov:"20017"_14801_17452
    FAT*FAT: koko ni aru yan . %mov:"20017"_17452_18157
    FAThai, oide . %mov:"20017"_18157_21994
    FATgohon miru ? %mov:"20017"_21994_24485
  2. FAThai . %mov:"20017"_30879_31904
    FATsoko fundara iya yo . %mov:"20017"_31904_34511
    FAT*FAT: joozu ni ne . %mov:"20017"_34511_35727
    FATsoo soo soo . %mov:"20017"_35727_36418
    FATaa . %mov:"20017"_36418_37006
  3. FATJun ga kaita n ? %mov:"20017"_226228_229304
    FATn ? %mov:"20017"_229304_231973
    FAT*FAT: gohon ni kaita ra dame desu yo . %mov:"20017"_231973_234972
    CHImee . %mov:"20017"_234972_235598
    FATmee ! %mov:"20017"_235598_237186
  4. CHIuun teru <wa> [>] . %mov:"20017"_270568_273323
    FATsoo ya [<] . %mov:"20017"_270568_273323
    FAT*FAT: koko ni mo aru wa, hora, mikisaa . %mov:"20017"_273323_274711
    FATuun@o . %mov:"20017"_274711_275618
    FAThora, issho ya ro ? %mov:"20017"_275618_276694
  5. CHIuun ya . %mov:"20017"_278761_281890
    FATsoo ya . %mov:"20017"_281890_282522
    FAT*FAT: joozu ni mane suru ne . %mov:"20017"_282522_283912
    FATissho ya ne,, kore to . %mov:"20017"_283912_286039
    CHIissho ya nee . %mov:"20017"_286039_287794
  6. FATJun kore . %mov:"20017"_378611_379357
    FATuun ? %mov:"20017"_379357_381108
    FAT*FAT: piipoopiipoo@o doko ni aru no, sagashaite . %mov:"20017"_381108_386121
    FATJunkun nottan dore ? %mov:"20017"_386121_387637
    FATJunkun piipoopiipoo@o notta ? %mov:"20017"_387637_390638
  7. FATdare to notta ? %mov:"20017"_524575_527133
    CHIchaacha . %mov:"20017"_527133_528808
    FAT*FAT: Chaachan to issho ni notta . %mov:"20017"_528808_530003
    FATdoko itta ? %mov:"20017"_530003_530614
    FAToishasan itta n. %mov:"20017"_530614_533059
  8. FATmeme, kore meme ka ? %mov:"20017"_576778_578124
    FATkore omeme ka ? %mov:"20017"_578124_580151
    FAT*FAT: mimi doko ni aru ? %mov:"20017"_580151_584163
    CHImimi . %mov:"20017"_584163_585805
    FATsore mimi ka . %mov:"20017"_585805_586773
  9. FATokuchi wa ? %mov:"20017"_595030_596389
    FATokuchi # sore okuchi . %mov:"20017"_596389_599523
    FAT*FAT: Jun no okuchi wa doko ni aru ? %mov:"20017"_599523_601117
    FATatama wa ? %mov:"20017"_601117_604608
    FATshinkansen no atama wa ? %mov:"20017"_604608_607679
  10. FAToishii nee . %mov:"20017"_1086352_1091364
    FATkondo kore shoo ka . %mov:"20017"_1091364_1093587
    FAT*FAT: Jun ookii no ni iretageyo ka . %mov:"20017"_1093587_1097385
    CHIn ? %mov:"20017"_1097385_1098333
    FATkoko iretage yo ka ? %mov:"20017"_1098333_1099239

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Jun japanese_ishii10.70
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20017.chaJun 2;0.17935101010.70

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. ni10 · 100.0%